Monocular-Depth-Estimation-Toolbox
learning-topology-synthetic-data
| Monocular-Depth-Estimation-Toolbox | learning-topology-synthetic-data | |
|---|---|---|
| 1 | 5 | |
| 847 | 37 | |
| - | - | |
| 10.0 | 4.3 | |
| over 1 year ago | 10 months ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Monocular-Depth-Estimation-Toolbox
-
With the absence of ultrasonics, how will Tesla measure depth when stationary without stereoscopic vision
Pretty picture: https://github.com/zhyever/monocular-depth-estimation-toolbox
learning-topology-synthetic-data
-
Want to use synthetic data, but don't want to deal with domain gap?
For those interested, here are our source code with pretrained mdoels (it is light-weight so it runs on your local machine!) and arxiv version of our paper.
paper: https://arxiv.org/pdf/2106.02994.pdf
Here are some of the reconstructions produced by our method:
https://github.com/alexklwong/learning-topology-synthetic-da...
https://github.com/alexklwong/learning-topology-synthetic-da...
-
[N][R] Want to leverage synthetic data for 3d reconstruction, but don't want to deal with the photometric domain gap? (ICRA 2021 talk)
Code for https://arxiv.org/abs/2106.02994 found: https://github.com/alexklwong/learning-topology-synthetic-data
What are some alternatives?
simplerecon - [ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
DECA - DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
Make-It-3D - [ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
NeuralRecon - Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
STEPS - This is the official repository for ICRA-2023 paper "STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation"
void-dataset - Visual Odometry with Inertial and Depth (VOID) dataset